一个基于替代品的新型优化框架,用于制药工艺系统
Artemis Tsochatzidi1, Francesca Cenci2, Magdalini Aroniada2
1The Sargent Centre for Process Systems Engineering, Department of Chemical Engineering, UCL (University College London), Torrington Place, London WC1E 7JE, UK.
这项研究引入了一个统一的框架,用于药品制造中基于代孕药物的优化. 它通过有效接近活性药物成分生产的复杂工艺模型来提高运营效率和产量.
科学领域:
- 化学工程是化学工程的重要组成部分.
- 工艺系统工程 工艺系统工程
- 计算化学的计算化学
背景情况:
- 制药制造业依赖于复杂的过程模型进行优化.
- 这些模型的高计算需求需要高效的替代方法.
- 基于替代品的优化为复杂系统建模提供了一个实用的解决方案.
研究的目的:
- 提出一个统一的框架,整合多个软件工具以替代品为基础的优化.
- 为了应对优化复杂的现实世界过程模型的挑战.
- 改善关键指标,如产量,纯度和可持续性在活性药物成分 (API) 制造.
主要方法:
- 开发一个统一的系统以替代品为基础的优化.
- 应用多目标优化技术.
- 使用帕雷托前线来可视化竞争目标之间的权衡.
主要成果:
- 替代模型有效地近似复杂的过程行为.
- 单一目标优化提高了1.72%的收益率和7.27%的过程质量强度.
- 多目标优化提高了3.63%的收益率,同时保持了高纯度.
结论:
- 提出的框架提供了一种实用方法,用于对API制造流程表进行强有力的优化.
- 基于替代品的优化是提高制药过程性能的一种有效策略.
- 多目标优化有效地平衡药物制造中的竞争性绩效指标.
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